Profiling original python code

bana@bana-laptop:~/python/cython_play/gmm$ python -m pstats
Welcome to the profile statistics browser.
% read prof_orig.dat
prof_orig.dat% sort cumulative
prof_orig.dat% strip
prof_orig.dat% stats 15
Sun Apr  4 20:44:49 2010    prof_orig.dat

         11399892 function calls in 68.930 CPU seconds

   Random listing order was used
   List reduced from 42 to 15 due to restriction <15>

   ncalls  tottime  percall  cumtime  percall filename:lineno(function)
   199998    1.183    0.000    1.786    0.000 linalg.py:104(_assertRank2)
   499995    0.827    0.000    0.827    0.000 {getattr}
   399997    1.828    0.000    1.828    0.000 {numpy.core.multiarray.zeros}
    99999    0.722    0.000    3.932    0.000 {map}
   199998    1.718    0.000    3.210    0.000 shape_base.py:300(atleast_2d)
   399996    0.849    0.000    0.849    0.000 {method 'transpose' of 'numpy.ndarray' objects}
    99999    0.622    0.000    5.051    0.000 shape_base.py:412(vstack)
   599994    2.020    0.000    3.143    0.000 linalg.py:36(isComplexType)
        1    0.000    0.000   68.930   68.930 <string>:1(<module>)
   399996    1.351    0.000    1.351    0.000 {numpy.core.multiarray._fastCopyAndTranspose}
   399996    0.653    0.000    0.653    0.000 {method 'get' of 'dict' objects}
   499995    1.897    0.000    3.398    0.000 numeric.py:180(asarray)
   899991    6.026    0.000    6.026    0.000 {numpy.core.multiarray.array}
    99999    0.322    0.000    0.322    0.000 {numpy.core.multiarray.empty}
   199998    0.352    0.000    0.352    0.000 {min}